WPS 365 MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WPS 365 as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to WPS 365. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in WPS 365?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About WPS 365 MCP Server
Empower your AI agent to orchestrate your collaborative office work with WPS 365 (WPS Open Platform), the leading enterprise office suite. By connecting WPS 365 to your agent, you transform complex file management and document production into a natural conversation. Your agent can instantly list your files, create new collaborative documents, import external content, and even export your work into multiple formats without you ever needing to navigate the technical dashboard. Whether you are managing complex project reports or large-scale spreadsheets, your agent acts as a real-time productivity assistant, keeping your files organized and your team aligned.
LlamaIndex agents combine WPS 365 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Document Orchestration — List all accessible documents, sheets, and presentations across your WPS workspace.
- File Management — Create, retrieve, and manage file metadata with full support for collaborative workflows.
- Import & Export — Seamlessly import external content and export WPS documents into standard formats like docx and pdf.
- Folder Organization — Browse folder structures and manage file locations efficiently.
- Administrative Insights — List organization users and retrieve high-level information about your WPS infrastructure.
The WPS 365 MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect WPS 365 to LlamaIndex via MCP
Follow these steps to integrate the WPS 365 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from WPS 365
Why Use LlamaIndex with the WPS 365 MCP Server
LlamaIndex provides unique advantages when paired with WPS 365 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WPS 365 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WPS 365 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WPS 365, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WPS 365 tools were called, what data was returned, and how it influenced the final answer
WPS 365 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WPS 365 MCP Server delivers measurable value.
Hybrid search: combine WPS 365 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WPS 365 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying WPS 365 for fresh data
Analytical workflows: chain WPS 365 queries with LlamaIndex's data connectors to build multi-source analytical reports
WPS 365 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect WPS 365 to LlamaIndex via MCP:
create_file
Create a new document
export_file
Export a WPS file
get_file_info
Get file metadata
get_folder_content
Get folder contents
get_org_info
Get organization details
import_file
Import a document into WPS
list_collaborators
List file collaborators
list_files
List all WPS files
list_folders
List all folders
list_users
List organization users
Example Prompts for WPS 365 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WPS 365 immediately.
"List all my collaborative documents on WPS."
"Create a new spreadsheet titled 'Sales Forecast' in the 'Planning' folder."
"Export the document 'Company Policy' to PDF."
Troubleshooting WPS 365 MCP Server with LlamaIndex
Common issues when connecting WPS 365 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWPS 365 + LlamaIndex FAQ
Common questions about integrating WPS 365 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect WPS 365 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect WPS 365 to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.